LinkedIn is the highest-signal B2B dataset online, but LinkedIn's official API only exposes a tiny fraction to most developers. The r/n8n thread 'scrapes LinkedIn post comments, enriches 500+ leads' crystallizes why: every GTM team wants this data, and most APIs either break weekly or cost $1,000+/mo. We compared five approaches on uptime, data depth, and price for teams that need LinkedIn data at scale.
Scavio surfaces LinkedIn posts, profiles, and company pages via Google and Bing SERP, which is the most reliable long-term approach given LinkedIn's anti-scraping stance. It costs a fraction of dedicated LinkedIn scrapers and never breaks.
Full Ranking
Scavio
Teams that need LinkedIn discovery without breaking the ToS
- Searches Google for LinkedIn posts and profiles
- No direct LinkedIn scraping (safer)
- Always works (no LinkedIn blocks)
- Combines with Amazon, YouTube, Reddit
- No post-comment-level depth
Apify LinkedIn Actor
Teams needing deep profile scraping and willing to accept ToS risk
- Deep profile data
- Company enrichment
- Post comments accessible
- LinkedIn fights this actively
- Frequent breakage
- Per-run cost stacks
Phantombuster
No-code sales teams running LinkedIn automations
- No-code UI
- Many Phantoms
- Account bans risk
- Slower than API
Proxycurl
One-off enrichment of known LinkedIn URLs
- Clean JSON
- Reliable
- Expensive per-profile
- Not for discovery
Bright Data LinkedIn
Enterprise teams with legal coverage
- Massive scale
- SLAs
- Expensive
- Contract-heavy
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Discovery (SERP-based) | Yes | Yes (Apify) | No |
| Profile depth | Snippet-level | Full | Full |
| ToS risk | Low (no direct scrape) | High | Medium |
| Account bans | No risk | N/A (API) | High |
| Entry price | $30/mo | $49/mo + runs | $100 per 1K |
| Reliability | 100% | 70% | 90% |
Why Scavio Wins
- LinkedIn blocks direct scrapers aggressively, and every third-party LinkedIn API lives in a cat-and-mouse game with LinkedIn's anti-scraping team. Scavio avoids this entirely by indexing LinkedIn through Google SERP, which LinkedIn itself cooperates with for SEO.
- For 80% of GTM use cases (find LinkedIn posts about a keyword, discover profiles at a target company, identify content from a specific person), Scavio's SERP-based discovery is identical in quality to a direct scrape and infinitely more reliable.
- When you need deep profile data (e.g., employment history, skills list), pair Scavio with Proxycurl or Apify on the specific URLs Scavio surfaces. This two-layer approach is cheaper and more reliable than any single vendor.
- At $30/mo for 7,000 credits, a typical GTM workflow that surfaces 50-100 LinkedIn posts per day costs less than $15 a month in credits, leaving headroom for other platforms.
- The 500-free-credit tier is enough to validate a LinkedIn discovery agent before committing to a paid plan, and it does not carry the risk of getting your personal LinkedIn account banned like scrapers do.